Ollaya serves open decision models locally with TypeSafe-compatible API
Decision models are a lighter, cheaper alternative to calling a full LLM for routing and classification tasks, and Ollaya makes them as easy to run locally as Ollama made general models. Developers building LLM routers, guardrails or zero-shot classifiers can drop it in behind a TypeSafe-compatible API without cloud dependencies. GLiClass and NLI-style models offer a concrete comparison point against embedding-based classifiers.
A new open-source project called Ollaya positions itself as the Ollama for decision models.
It lets users pull and run open decision models locally, including Laya, decider, NLI and GLiClass.The service exposes a TypeSafe-compatible API so applications can call these models as a local inference backend.
The main use cases are LLM routing and zero-shot classification.
号称决策模型界的 Ollama：本地拉取并服务 Laya、decider、NLI、GLiClass 等开放决策模型，暴露 TypeSafe 兼容 API。做 LLM 路由和零样本分类的可以拿来当本地推理底座。 github.com/ollaya-dev/oll…
This report is categorized under AITOP's "How-to" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Ollaya, GLiClass, decision models, zero-shot classification.
Source attribution: curated from Geek (@geekbb).
